DBMS > atoti vs. EventStoreDB vs. OushuDB vs. SAP Advantage Database Server vs. SpatiaLite

System Properties Comparison atoti vs. EventStoreDB vs. OushuDB vs. SAP Advantage Database Server vs. SpatiaLite

Editorial information provided by DB-Engines

Name

SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

Industrial-strength, open-source database solution built from the ground up for event sourcing.

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Low-cost RDBMS with access to ISAM and FoxPro data structures

Spatial extension of SQLite

Primary database model

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

atoti.io

www.eventstore.com

www.oushu.com/product/oushuDB

www.sap.com/products/advantage-database-server.html

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

docs.atoti.io

developers.eventstore.com

www.oushu.com/documentation

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

ActiveViam

Event Store Limited

Oushu

Sybase, SAP

Alessandro Furieri

Initial release

2012

1993

2008

Current release

21.2, February 2021

4.0.1, August 2020

5.0.0, August 2020

License

Commercial or Open Source

commercial

free versions available

Open Source

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

Linux
Windows

Linux

Linux
Windows

server-less

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

Full-featured ANSI SQL support

yes

APIs and other access methods

JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

C
C++

Delphi
Perl
PHP

Server-side scripts

Stored procedures

Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

caching of (temporary) tables can be configured

yes

User concepts

Access control

Kerberos, SSL and role based access

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

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